G. Raso
Impact in
- Radiation top 2%
- Radiation Detection and Scintillator Technologies
- Nuclear Physics and Applications
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- AI in cancer detection 22
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- Advanced Semiconductor Detectors and Materials 20
- Co-authors
- Donato Cascio (36 shared papers)F. Fauci (27 shared papers)L. Abbene (28 shared papers)G. Gerardi (20 shared papers)R. Magro (12 shared papers)F. Principato (13 shared papers)S. Del Sordo (10 shared papers)S. Stumbo (13 shared papers)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (12 papers)Applied Sciences (7 papers)Sensors (5 papers)Medical Physics (2 papers)La radiologia medica (1 paper)
- Partner nations
- ItalyCubaUnited Kingdom
In The Last Decade
G. Raso
66 papers receiving 982 citations
Peers
Comparison fields: 5 of 101
- Radiation 276
- Radiology, Nuclear Medicine and Imaging 293
- Computer Vision and Pattern Recognition 188
- Media Technology 74
- Artificial Intelligence 280
Countries citing papers authored by G. Raso
This map shows the geographic impact of G. Raso's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G. Raso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Raso more than expected).
Fields of papers citing papers by G. Raso
This network shows the impact of papers produced by G. Raso. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G. Raso. The network helps show where G. Raso may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Raso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 123 | |
| 2 | 2006 | 101 | |
| 3 | 2016 | 46 | |
| 4 | 2006 | 36 | |
| 5 | 2007 | 36 | |
| 6 | 2010 | 32 | |
| 7 | 2014 | 30 | |
| 8 | 2010 | 30 | |
| 9 | 2006 | 30 | |
| 10 | 2006 | 28 | |
| 11 | 2017 | 26 | |
| 12 | 2009 | 26 | |
| 13 | 2016 | 25 | |
| 14 | 2017 | 24 | |
| 15 | 2020 | 23 | |
| 16 | 2019 | 23 | |
| 17 | 2012 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 1996 | 20 | |
| 20 | 2013 | 17 |
About G. Raso
G. Raso is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include AI in cancer detection (22 papers), Advanced X-ray and CT Imaging (20 papers), Advanced Semiconductor Detectors and Materials (20 papers), Radiation Detection and Scintillator Technologies (12 papers), Digital Radiography and Breast Imaging (9 papers), Systemic Lupus Erythematosus Research (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Radiation (276 citations), Radiology, Nuclear Medicine and Imaging (293 citations), Computer Vision and Pattern Recognition (188 citations), Media Technology (74 citations) and Artificial Intelligence (280 citations). G. Raso has collaborated with scholars based in Italy, Cuba and United Kingdom. Frequent co-authors include Donato Cascio, F. Fauci, L. Abbene, G. Gerardi, R. Magro, F. Principato, S. Del Sordo, S. Stumbo, Maria Evelina Fantacci and P. Oliva. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Applied Sciences, Sensors, Medical Physics and La radiologia medica.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.